Triple

T9204970
Position Surface form Disambiguated ID Type / Status
Subject Anna Gardner E220950 entity
Predicate educationLocation P86973 FINISHED
Object United States E14 NE FINISHED

How this triple was built (3 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: United States | Statement: [Anna Gardner, educationLocation, United States]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: United States
Context triple: [Anna Gardner, educationLocation, United States]
  • A. United States of America chosen
    The United States of America is a large federal republic in North America known for its global political, economic, military, and cultural influence.
  • B. USA
    USA is a public research university located in Mobile, Alabama, known for its diverse academic programs and regional impact in the Gulf Coast area.
  • C. USA
    USA is the three-letter International Olympic Committee country code representing the United States of America in international sporting events.
  • D. Usan
    Usan is a small coastal village in Angus, Scotland, known for its fishing heritage and scenic North Sea shoreline.
  • E. EUA
    EUA (European University Association) is a major organization representing and supporting higher education institutions and national rectors’ conferences across Europe in areas such as policy, quality assurance, and institutional development.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: educationLocation
Context triple: [Anna Gardner, educationLocation, United States]
  • A. schoolAttended
    Indicates that one entity has attended, or been enrolled as a student at, the school represented by the other entity.
  • B. schoolTypeAttended
    Indicates the specific type or category of school that an entity has attended.
  • C. educationType
    Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
  • D. educationFacility
    Indicates that one entity functions as an institution or place where the other entity receives or provides education or training.
  • E. educationSetting
    Indicates the type or context of the educational environment in which the related entity participates or operates.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca83e8e9248190862cf3e41693b310 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd945f37881909f0d30eeb6a7a3ad completed April 1, 2026, 8:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05be6550081908d42bbae3c00cae3 completed April 4, 2026, 12:31 a.m.
PD Predicate disambiguation batch_69cc660af2408190ae06eb8326e1c64e completed April 1, 2026, 12:25 a.m.
PDg Predicate description generation batch_69cc6745c17881908df72443e0800068 completed April 1, 2026, 12:31 a.m.
Created at: March 30, 2026, 7:26 p.m.